Fairness is an increasingly important topic as machine learning and AI more generally take over the world. While this is an active area of research, many realistic best practices are emerging at all steps along the data pipeline, from data selection and preprocessing to blackbox model audits. This book will guide you through the technical, legal, and ethical aspects of making your code fair and secure while highlighting cutting edge academic research and ongoing legal developments related to fairness and algorithms. There is mounting evidence that the widespread deployment of machine learning and artificial intelligence in business and government is reproducing the same biases we are trying to fight in the real world. For this reason, fairness is an increasingly important consideration for the data scientist. Yet discussions of what fairness means in terms of actual code are few and far between. This code will show you how to code fairly as well as cover basic concerns related to data security and privacy from a fairness perspective.
Fairness is an increasingly important topic as machine learning and AI more generally take over the world. While this is an active area of research, many realistic best practices are emerging at all steps along the data pipeline, from data selection and preprocessing to blackbox model audits. This book will guide you through the technical, legal, and ethical aspects of making your code fair and secure while highlighting cutting edge academic research and ongoing legal developments related to fairness and algorithms. There is mounting evidence that the widespread deployment of machine learning and artificial intelligence in business and government is reproducing the same biases we are trying to fight in the real world. For this reason, fairness is an increasingly important consideration for the data scientist. Yet discussions of what fairness means in terms of actual code are few and far between. This code will show you how to code fairly as well as cover basic concerns related to data security and privacy from a fairness perspective.
Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniques will increase. Covering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the most common data engineering and analysis challengesin time series, using both traditional statistical and modern machine learning techniques. Author Aileen Nielsen offers an accessible, well-rounded introduction to time series in both R and Python that will have data scientists, software engineers, and researchers up and running quickly. You’ll get the guidance you need to confidently: Find and wrangle time series data Undertake exploratory time series data analysis Store temporal data Simulate time series data Generate and select features for a time series Measure error Forecast and classify time series with machine or deep learning Evaluate accuracy and performance
The Renal Drug Handbook offers information compiled from the UK Renal Pharmacy Group and features drug monographs guiding physicians in how to prescribe, prepare, and administer drugs to patients undergoing renal replacement therapy. Also provides a practice-based review of drug utilization in renal units across the UK. Purchasers of The Renal Drug Handbook receive a free 30-day trial to the The Renal Drug Database. A code to activate the trial may be found on the inside-front cover of The Renal Drug Handbook; the trial is activated by entering the code on the Redeem page of this website, accessible from the homepage. "The Renal Drug Handbook provides essential information on drug dosing in patients with different levels of kidney function. As in previous editions, the logical format makes it easy to use and simple to follow. Included in this update are over 130 new drugs and a new section on drug metabolism and excretion in each drug monograph. Wide dissemination of this 4th edition will help healthcare professionals who prescribe and more importantly protect their patients from avoidable harm. Well done to the authors for maintaining this amazing resource." — David C Wheeler, Professor of Kidney Medicine, University College London, and President, Renal Association
It's 1935 and from a child's eye view, the hard times of the Depression era are becoming more and more real. Each day, coming home from school, there is something else missing. First the sow pig, then the cow, then the truck. On one wrenching day the beloved hunting dog is sold. Finally the whole family packs up in the car and leaves--the children wonder where, but their parents are silent. Suddenly, the car stops at the edge of the road and Mother leans into the back seat, giving Mary Jake a handkerchief with something tied inside and the instructions to walk down the path into the forest, take the LEFT fork into town, and present the handkerchief at the stone house. So begins the adventure of a girl who chooses her own in path (neither left fork nor right), dyes herself in a stump full of walnut-colored water and disguises herself as a boy. "Jake" Smith soon meets Miz Bennett and hires on to help with her garden and animals. In this rags-to-riches story, rich with descriptions of Alabama during the Depression a strong female character copes with abandonment with courage and resilience.
Whitening Race comes to fruition at a time in world history and global politics when questions about race require critical investigation and engagement. Since the 1990s international scholars have developed a powerful cultural critique by making whiteness an analytical object of research. Whiteness has become the invisible norm against which other races are judged in the construction of identity, representation, subjectivity, nationalism and the law. With its focus on Australia, the book engages with relations between migration, Indigenous dispossession and whiteness. It creates a new intellectual space that investigates the nature of racialised conditions and their role in reproducing colonising relations in Australia. Aileen Moreton-Robinson has brought together scholars from a range of disciplines: philosophy, cultural and gender studies, education, social work, sociology and literary studies. All engage critically with the location of the social and discursive construction of whiteness.
This book is a classic of its kind -- a no-holds-barred portrait of Hamilton civic life in the 1970s. The focus is on power -- and the powerful. On the surface, power was wielded by the city's businessman-mayor, a business-oriented city council, and a Liberal Party machine fronted by prominent cabinet minister John Munro. Behind the scenes Bill Freeman and Marsha Hewitt found a fascinating set of characters and organizations. They offer a history of organized crime in Hamilton from its rum-running heyday of Rocco Perri to Johnny Papalia and his associates in the 1970s. Freeman and Hewitt provide a critical analysis of The Hamilton Spectator's often unquestioning support of the business agenda for the city, which produced the ruinous demolition of the downtown core and its replacement with Jackson Square. They also examine the labour movement's role in civic life. A chapter on the John Munro political machine, written by Henry Jacek, shows how politics is integrated into the power structure of the city. The book tells the story of key development projects of the 1960s and 1970s that were supposed to transform the central city. The account of the notorious contracts for dredging Hamilton Harbour is compelling reading. The authors look closely at the winners and losers in these projects. Today, Hamiltonians can make their own judgments about the long-term impact of these projects on their city.
Author Rex Stout created one of the best-known and popular fictional detective characters in history, Nero Wolfe, along with Wolfe's unforgettable and talented personal assistant, Archie Goodwin. With Nero Wolfe, Stout has been described as a puppet master who manipulated a character until it took on a life of its own. Nero Wolfe became so real that he has spawned decades of study and analysis from reviewers, bibliophiles, academics, and fans who debate and speculate on every aspect of Nero Wolfe's life: the man himself, his assistant Archie Goodwin, his detective methods, his home, and his culinary preferences. Although Rex Stout the author was a fascinating man with a life history worth telling, he comes second to the characters he created in Nero Wolfe and Archie Goodwin. In each of the Nero Wolfe narratives, comprising almost 80 novels, novellas and short stories, the story is told through the eyes of Archie Goodwin. Wolfe is brilliant, eccentric, and lazy. Archie does all of the legwork, while Wolfe stays at home and solves the mystery. Some have speculated that the Archie Goodwin character was Rex Stout's idealized self-portrait. Others have suggested Archie was actually female, although there is little evidence in Stout's books to support that.
Eat Well, Age Better shows how you can recognize your nutritional shortfalls – deficits that will increase your risk of the degenerative diseases of age, including diabetes, osteoporosis, dementia, macular degeneration, heart disease, and stroke. Backed by the latest research, Eat Well, Age Better describes in straightforward language how to be your own nutritionist. By taking control of your diet now, and understanding how to optimize it with selected vitamins and other supplements, you can increase energy, strengthen your immune system, maintain a healthy brain, and embark upon your retirement years with vigour and vitality.
Despite being repeatedly attacked in the press for its lewd and violent trash fest format, THE JERRY SPRINGER SHOWhas skyrocketed right to the top to become the #1 rated TV talk show today. How did nice-guy Jerry Springer, an Emmy award-winning TV anchorman and former mayor of Cincinnati, end up as the ringmaster for this hour-long sideshow of Ku Klux Klanners, transexuals, two-timing boyfriends, strippers, and bizarre love triangles that has rocked and shocked America? Find out about:
Describes the childhood, Hollywood career, and family life of the actor who starred in the television series "Bonanza," and "Little House on the Prairie.
Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniques will increase. Covering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the most common data engineering and analysis challengesin time series, using both traditional statistical and modern machine learning techniques. Author Aileen Nielsen offers an accessible, well-rounded introduction to time series in both R and Python that will have data scientists, software engineers, and researchers up and running quickly. You’ll get the guidance you need to confidently: Find and wrangle time series data Undertake exploratory time series data analysis Store temporal data Simulate time series data Generate and select features for a time series Measure error Forecast and classify time series with machine or deep learning Evaluate accuracy and performance
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